Demographics details for Ormond beach, FL vs Chester, MT
Population Overview
Compare main population characteristics in Ormond beach, FL vs Chester, MT.
| Data | Ormond beach | Chester |
|---|---|---|
| Population | 44,052 | 852 |
| Median Age | 51.9 years | 49.1 years |
| Median Income | $65,238 | $52,750 |
| Married Families | 42.0% | 33.0% |
| Poverty Level | 9% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Ormond beach vs Chester
- In Ormond beach, the population is higher at 44,052, compared to 852 in Chester.
- Residents in Ormond beach have a higher median age of 51.9 years compared to 49.1 years in Chester.
- Ormond beach has a higher median income of $65,238 compared to $52,750 in Chester.
- A higher percentage of married families is found in Ormond beach at 42.0% compared to 33.0% in Chester.
- The poverty level is higher in Chester at 13%, compared to 9% in Ormond beach.
- The unemployment rate is the same in both Ormond beach and Chester at 3.5%.
Demographics
Demographics Ormond beach vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Ormond beach | Chester |
|---|---|---|
| Black | 6 | Data is updating |
| White | 80 | 94 |
| Asian | 3 | Data is updating |
| Hispanic | 7 | 1 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Ormond beach vs Chester
- A higher percentage of Black residents are in Ormond beach at 6% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 94% compared to 80% in Ormond beach.
- The Asian population is larger in Ormond beach at 3% compared to 0% in Chester.
- The Hispanic community is larger in Ormond beach at 7% compared to 1% in Chester.
- Both Ormond beach and Chester have the same percentage of residents identifying as two or more races at 4%.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Ormond beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ormond beach | Chester |
|---|---|---|
| Mental Health Not Good | 16.1% | 19.3% |
| Physical Health Not Good | 10.1% | 13.8% |
| Depression | 21.1% | 26.6% |
| Smoking | 19.2% | 23.1% |
| Binge Drinking | 18.8% | 20.7% |
| Obesity | 30.8% | 37.3% |
| Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Ormond beach vs Chester
- In Chester, a higher percentage report poor mental health at 19.3% compared to 16.1% in Ormond beach.
- Higher depression rates are seen in Chester at 26.6% versus 21.1% in Ormond beach.
- Chester has a higher smoking rate at 23.1% compared to 19.2% in Ormond beach.
- More residents engage in binge drinking in Chester at 20.7% compared to 18.8% in Ormond beach.
- Chester has higher obesity rates at 37.3% compared to 30.8% in Ormond beach.
- There is a higher percentage of disabled individuals in Chester at 21.0% compared to 15.0% in Ormond beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ormond beach | Chester |
|---|---|---|
| No Schooling | 0.4% (173) | 0.2% (2) |
| High School Diploma | 16.1% (7,098) | 16.1% (137) |
| Less than High School | 8.9% (3,901) | 11.9% (101) |
| Bachelor's Degree and Higher | 26.5% (11,653) | 16.1% (137) |
Education Levels Comparison: Ormond beach vs Chester
- A higher percentage of residents in Ormond beach have no formal schooling at 0.4% compared to 0.2% in Chester.
- Both cities have the same percentage of residents with high school diplomas at 16.1%.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 8.9% in Ormond beach.
- A higher percentage of residents in Ormond beach hold a bachelor's degree or higher at 26.5% compared to 16.1% in Chester.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.